AP
Apr 17, 2020
Hi it is very helpful to me. Concept is properly explained. I enjoyed learning process. Expect some more courses on data science as well as on python which involves real time application.Thanks a lot.
PS
Jul 23, 2017
This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.
By Denise D
•Apr 13, 2022
Week 4 definitely needs more applied examples, the quizzes were very hard.
The rest was a good refreshener of the math basics.
By Juan N R A
•May 4, 2020
Me gustarían mas ejemplos en el tema de probabilidades. Bayesian y Binomial.
Gracias por la dedicación y compartir conocimiento
By Heather H
•Apr 27, 2020
I enjoyed the class. I haven't taken probability in over a decade so it was rough learning it again. Thank you for the class!
By Alefiyah F
•Nov 25, 2020
Excellent course. I would recommend adding on more optional practise exercises for those who have haven't done this in a while
By ayman m
•Nov 1, 2020
probability section needs to be reviewed. i felt difficulties in learning and i went to khan academy to clear bayezian theorem
By Eugenio P
•Jun 7, 2020
The instruction is great in presentation however it is far too shallow for the depth of the questions expected on the quizzes.
By Yuvraj M
•Jun 3, 2020
The Course was structured pretty well! Like the tutors. More Support could have been offered for the last two modules though!
By Saurabh C
•Apr 12, 2020
Well taught. I felt Bayes Theorem could have been explained a little better. However, overall a wonderful course. Thank you.
By Eman A
•Jan 27, 2018
its very good course,,but i didn't mark 5th star because course need more excercises on each lesson special at probabilities
By Maks F
•Jul 28, 2017
Thanks for course! Only advise I can give - change the name to "Basic Math Skills for Data science". Course is pretty easy.
By Jagdish R A
•Apr 17, 2020
I understood all the basic math skills behind the data science Field. Very good explanation of probability part and so on.
By Mohamed M A E
•Dec 4, 2017
It is very good course but need to add more exercises (examples), reading materials in addition to more and longer videos.
By Milad F
•Jul 31, 2022
Great cours overal but, the probability sections needs more works. specifcly more explation through examples is required.
By Shahrukh H
•Apr 30, 2020
Should be rather more competitive from the 3rd week stage. Although the teaching was definitely interactive and engaging.
By Birkaran S
•Oct 25, 2019
Well-described concise notes and if you do not understand anything, the author provides written notes with every lecture.
By Romain T
•Jun 18, 2020
Good course for brushing up one's maths skills. I found the week 4 content quite challenging, but got there in the end!
By GODBOLE K S
•May 15, 2020
It was very awesome experience with coursera.it help me to clear my concept regarding with data science and math skill.
By MONALISA P
•Apr 27, 2020
One more week on Probability could have been better. Probabilty week felt a little rushed. Rest was awesome. Thank you.
By Zhe X
•Jun 11, 2017
Good introduction course. It will be better if more contents and examples for calculus and probalility can be provided.
By Faisal H
•Jan 28, 2023
A Good Refresher Course, It enabled me to see and understand the Maths behind the "Data Science and Machine Learning".
By Andrew C
•Jun 22, 2017
Quality instruction with clear explanation of concepts and relevant practice/test modules to check your understanding.
By Nandini T
•Jan 23, 2022
It was a great course and it provided me with the basic knowledge. Overall it was an informative course for beginners
By トランぺ
•May 21, 2020
Maybe a little easy for the real task, I will try another harder class, but thanks for giving me the chance to learn.
By Greg L
•Apr 18, 2018
no discussion or ongoing grade at least in the beta course. Generally pretty good, a little slow and simple to start
By WANG T
•Feb 10, 2018
Clear structure and typical case were applied in this course. However, hope the course material could be more detail.